Location mapping using python (Jupyter Nootbook). I this project we have identified the most dangerous volcanos in world using jupyter and database.

1. Location mapping using python
(Jupyter Nootbook)
Presentation by:
SHRIKANT CHANDAN
NIKHIL CHAVAN
Guidance by:
Prof. J Gawande
DY PATIL
INTERNSHIP 18-07-20

2. WHAT IS Location Mapping?
• Location Mapping is referred to as the map which
indicates the location of specific geographic areas.
• We can identify the exact location the reader is looking for
• Location mapping is thus important for whose readers
who
do not have ideas about specific locations and use it for
the
purpose of locating such unknown areas.
• Cartography
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3. WHY PYTHON
• Versatile, Easy to Use and Fast to Develop.
• Open Source with a Vibrant Community.
• Has All the Libraries You Can Imagine.
• Great for Prototypes - You Can Do More with Less Code.
• Speed Limitations.
• Problems with Threading.
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4. GENERAL PROCEDURE
• Obtain a dataset
• Movie reviewers
• Most ideal dataset to analyze
• Cleaning and structuring the data
• Build, train and update the model
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5. PROPOSED SYSTEM
1. Data Collection
2. Mapping
3. Volcano Detection
4. Selection of above 7 volume of volcano from classification
5. Presentation of output as a one map.
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6. Libraries we used
• import numpy as np
• import pandas as pd
• import folium
• import matplotlib.pyplot as plt
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14. CONCLUSION
• Mapping analysis tools can identify and analyze copious
amounts of data automatically and quickly
• Several methods are available, with several benefits and
drawbacks over each other
• Model has to be precisely crafted for the best results
• We can analyse large amount of 2d data on 3d map.
• Study of volcano.
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15. THANK YOU
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